In this paper we report results of the analysis of computational performances and energy efficiency of a Lattice Boltzmann method (LBM) based application on the Intel KNL family of processors. In particular we analyse the impact of the main memory (DRAM) while using optimised memory access patterns to accessing data on the on-chip memory (MCDRAM) configured as cache for the DRAM, even when the size of the data of the simulation fits the capacity of the on-chip memory available on socket.

Computational Performances and Energy Efficiency Assessment for a Lattice Boltzmann Method on Intel KNL

Schifano Sebastiano Fabio;Calore Enrico;
2020

Abstract

In this paper we report results of the analysis of computational performances and energy efficiency of a Lattice Boltzmann method (LBM) based application on the Intel KNL family of processors. In particular we analyse the impact of the main memory (DRAM) while using optimised memory access patterns to accessing data on the on-chip memory (MCDRAM) configured as cache for the DRAM, even when the size of the data of the simulation fits the capacity of the on-chip memory available on socket.
978-1-64368-070-5
978-1-64368-071-2
Lattice Boltzmann method, KNL, Cache mode, Flat mode, energy efficiency, computational performances
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2418062
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